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Michael M Hoffman

Showing results (1-10 of 53) with videos related to

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Molecular Biology and Evolution|November 24, 2006
Estimating the neutral rate of nucleotide substitution using intronsMichael M Hoffman, Ewan Birney
Genome Biology|January 18, 2017
Genome Informatics 2016Davide Chicco, Michael M Hoffman
Proceedings of the National Academy of Sciences of the United States of America|February 15, 2018
Classification and interaction in random forestsDanielle Denisko, Michael M Hoffman
Genome Biology|June 10, 2022
Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptomeMehran Karimzadeh, Michael M Hoffman
Nature Methods|February 27, 2015
Determining the epigenome using DNA aloneCoby Viner, Michael M Hoffman
Briefings in Bioinformatics|January 16, 2017
Top considerations for creating bioinformatics software documentationMehran Karimzadeh, Michael M Hoffman
Genome Research|March 3, 2010
An effective model for natural selection in promotersMichael M Hoffman, Ewan Birney
Bioinformatics Advances|April 10, 2023
Motif elucidation in ChIP-seq datasets with a knockout controlDanielle Denisko, Coby Viner, Michael M Hoffman
Journal of Cheminformatics|April 25, 2019
DNAmod: the DNA modification databaseAnkur Jai Sood, Coby Viner, Michael M Hoffman
Bioinformatics (Oxford, England)|May 4, 2010
The Genomedata format for storing large-scale functional genomics dataMichael M Hoffman, Orion J Buske, William Stafford Noble
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
Molecular Biology and Evolution|November 24, 2006
Estimating the neutral rate of nucleotide substitution using intronsMichael M Hoffman, Ewan Birney
Genome Biology|January 18, 2017
Genome Informatics 2016Davide Chicco, Michael M Hoffman
Proceedings of the National Academy of Sciences of the United States of America|February 15, 2018
Classification and interaction in random forestsDanielle Denisko, Michael M Hoffman
Genome Biology|June 10, 2022
Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptomeMehran Karimzadeh, Michael M Hoffman
Nature Methods|February 27, 2015
Determining the epigenome using DNA aloneCoby Viner, Michael M Hoffman
Briefings in Bioinformatics|January 16, 2017
Top considerations for creating bioinformatics software documentationMehran Karimzadeh, Michael M Hoffman
Genome Research|March 3, 2010
An effective model for natural selection in promotersMichael M Hoffman, Ewan Birney
Bioinformatics Advances|April 10, 2023
Motif elucidation in ChIP-seq datasets with a knockout controlDanielle Denisko, Coby Viner, Michael M Hoffman
Journal of Cheminformatics|April 25, 2019
DNAmod: the DNA modification databaseAnkur Jai Sood, Coby Viner, Michael M Hoffman
Bioinformatics (Oxford, England)|May 4, 2010
The Genomedata format for storing large-scale functional genomics dataMichael M Hoffman, Orion J Buske, William Stafford Noble
Pageof 6